Utilization of machine learning for identifying symptom severity military-related PTSD subtypes and their biological correlates is a dataset published in Translational Psychiatry (2021). On theSindex it has a DataRank of 1.0, placing it in the top 19.5% of the data-sharing corpus. It has been cited 26 times, with 22 citing works in its 1-hop citation network.
Ranks in the top 19% for downstream scientific impact
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.494
From this paper's citation signal
Citation Network Contribution
0.547
From 19 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 22 citers.
United States Department of Defense | U.S. Army
Grant: W81XWH-18-C-0160
United States Department of Defense | U.S. Army
Grant: W911NF-17-1-0069
FWCI
2.80
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals